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Maria Basílio

Researcher at Instituto Politécnico de Beja

Publications -  8
Citations -  49

Maria Basílio is an academic researcher from Instituto Politécnico de Beja. The author has contributed to research in topics: Private sector & Emerging markets. The author has an hindex of 4, co-authored 8 publications receiving 34 citations.

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Book ChapterDOI

The Degree of Private Participation in PPPs: Evidence from Developing and Emerging Economies

TL;DR: In this article, the authors performed an empirical analysis of the determinants of the degree of private sector participation in PPPs in developing and emerging countries, using data from 2000 to 2014, obtained from the World Bank's PPI database.
Journal ArticleDOI

The Determinants of Multilateral Development Banks’ Participation in Infrastructure Projects

TL;DR: In this article, the authors propose that multilateral development banks (MDBs) have important functions in infrastructure projects, besides their traditional lending role, they provide additional guarantees to private investors about the...
Journal ArticleDOI

Do anchor infrastructures matter for regional Smart Specialisation Strategy? The case of Alentejo

TL;DR: In this article, the authors investigate the potential of anchor infrastructures to leverage RIS3 and propose an exploratory case study to evaluate the importance of anchor infrastructure for regional smart specialisation strategy.
Journal ArticleDOI

Portuguese banks’ performance: comparing efficiency with their Spanish counterparts

TL;DR: In this article, the authors compared the efficiency of 14 Spanish banks and 10 Portuguese banks using data from 2008 to 2013 from BankScope Database, using a generalized linear models approach, applying a fractional response model, in order to explain the efficiency scores.
Journal ArticleDOI

Local government efficiency: is there anything new after Troika’s intervention in Portugal?

TL;DR: In this paper, the authors evaluate the efficiency of the 278 mainland municipalities in Portugal using a two-stage procedure, combining data envelopment analysis in the first phase with fractional response models in the second.